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[wip] GST for India. Pending reports
This commit is contained in:
Rushabh Mehta
76
erpnext/regional/india/__init__.py
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76
erpnext/regional/india/__init__.py
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states = [
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'',
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'Andhra Pradesh',
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'Arunachal Pradesh',
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'Assam',
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'Bihar',
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'Chandigarh',
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'Chattisgarh',
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'Dadra and Nagar Haveli',
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'Daman and Diu',
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'Delhi',
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'Goa',
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'Gujarat',
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'Haryana',
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'Himachal Pradesh',
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'Jammu and Kashmir',
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'Jharkhand',
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'Karnataka',
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'Kerala',
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'Lakshadweep Islands',
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'Madhya Pradesh',
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'Maharashtra',
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'Manipur',
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'Meghalaya',
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'Mizoram',
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'Nagaland',
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'Odisha',
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'Pondicherry',
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'Punjab',
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'Rajasthan',
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'Sikkim',
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'Tamil Nadu',
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'Telangana',
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'Tripura',
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'Uttar Pradesh',
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'Uttarakhand',
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'West Bengal',
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]
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state_numbers = {
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"Andhra Pradesh": "37",
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"Arunachal Pradesh": "12",
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"Assam": "18",
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"Bihar": "10",
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"Chandigarh": "04",
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"Chattisgarh": "22",
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"Dadra and Nagar Haveli": "26",
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"Daman and Diu": "25",
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"Delhi": "07",
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"Goa": "30",
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"Gujarat": "24",
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"Haryana": "06",
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"Himachal Pradesh": "02",
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"Jammu and Kashmir": "01",
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"Jharkhand": "20",
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"Karnataka": "29",
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"Kerala": "32",
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"Lakshadweep Islands": "31",
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"Madhya Pradesh": "23",
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"Maharashtra": "27",
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"Manipur": "14",
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"Meghalaya": "17",
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"Mizoram": "15",
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"Nagaland": "13",
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"Odisha": "21",
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"Pondicherry": "34",
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"Punjab": "03",
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"Rajasthan": "08",
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"Sikkim": "11",
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"Tamil Nadu": "33",
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"Telangana": "36",
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"Tripura": "16",
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"Uttar Pradesh": "35",
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"Uttarakhand": "36",
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"West Bengal": "37"
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}
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177
erpnext/regional/india/gst_state_code_data.json
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177
erpnext/regional/india/gst_state_code_data.json
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@@ -0,0 +1,177 @@
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[
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{
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"state_number": "33",
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"state_code": "TN",
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"state_name": "Tamil Nadu"
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},
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{
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"state_number": "35",
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"state_code": "UP",
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"state_name": "Uttar Pradesh"
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},
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{
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"state_number": "36",
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"state_code": "UT",
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"state_name": "Uttarakhand"
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},
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{
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"state_number": "37",
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"state_code": "WB",
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"state_name": "West Bengal"
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},
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{
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"state_number": "16",
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"state_code": "TR",
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"state_name": "Tripura"
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},
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{
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"state_number": "36",
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"state_code": "TS",
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"state_name": "Telangana"
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},
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{
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"state_number": "11",
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"state_code": "SK",
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"state_name": "Sikkim"
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},
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{
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"state_number": "08",
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"state_code": "RJ",
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"state_name": "Rajasthan"
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},
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{
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"state_number": "03",
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"state_code": "PB",
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"state_name": "Punjab"
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},
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{
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"state_number": "34",
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"state_code": "PY",
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"state_name": "Pondicherry"
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},
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{
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"state_number": "21",
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"state_code": "OR",
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"state_name": "Odisha"
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},
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{
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"state_number": "13",
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"state_code": "NL",
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"state_name": "Nagaland"
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},
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{
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"state_number": "15",
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"state_code": "MI",
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"state_name": "Mizoram"
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},
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{
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"state_number": "17",
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"state_code": "ME",
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"state_name": "Meghalaya"
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},
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{
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"state_number": "14",
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"state_code": "MN",
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"state_name": "Manipur"
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},
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{
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"state_number": "27",
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"state_code": "MH",
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"state_name": "Maharashtra"
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},
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{
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"state_number": "23",
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"state_code": "MP",
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"state_name": "Madhya Pradesh"
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},
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{
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"state_number": "31",
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"state_code": "LD",
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"state_name": "Lakshadweep Islands"
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},
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{
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"state_number": "32",
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"state_code": "KL",
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"state_name": "Kerala"
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},
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{
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"state_number": "29",
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"state_code": "KA",
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"state_name": "Karnataka"
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},
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{
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"state_number": "20",
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"state_code": "JH",
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"state_name": "Jharkhand"
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},
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{
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"state_number": "01",
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"state_code": "JK",
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"state_name": "Jammu and Kashmir"
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},
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{
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"state_number": "02",
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"state_code": "HP",
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"state_name": "Himachal Pradesh"
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},
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{
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"state_number": "06",
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"state_code": "HR",
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"state_name": "Haryana"
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},
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{
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"state_number": "24",
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"state_code": "GJ",
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"state_name": "Gujarat"
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},
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{
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"state_number": "30",
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"state_code": "GA",
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"state_name": "Goa"
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},
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{
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"state_number": "07",
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"state_code": "DL",
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"state_name": "Delhi"
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},
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{
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"state_number": "25",
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"state_code": "DD",
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"state_name": "Daman and Diu"
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},
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{
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"state_number": "26",
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"state_code": "DN",
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"state_name": "Dadra and Nagar Haveli"
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},
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{
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"state_number": "22",
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"state_code": "CT",
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"state_name": "Chattisgarh"
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},
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{
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"state_number": "04",
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"state_code": "CH",
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"state_name": "Chandigarh"
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},
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{
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"state_number": "10",
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"state_code": "BH",
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"state_name": "Bihar"
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},
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{
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"state_number": "18",
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"state_code": "AS",
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"state_name": "Assam"
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},
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{
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"state_number": "12",
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"state_code": "AR",
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"state_name": "Arunachal Pradesh"
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},
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{
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"state_number": "37",
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"state_code": "AD",
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"state_name": "Andhra Pradesh (New)"
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}
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]
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50418
erpnext/regional/india/hsn_code_data.json
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50418
erpnext/regional/india/hsn_code_data.json
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File diff suppressed because it is too large
Load Diff
89
erpnext/regional/india/install.py
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89
erpnext/regional/india/install.py
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@@ -0,0 +1,89 @@
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# Copyright (c) 2015, Frappe Technologies Pvt. Ltd. and Contributors
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# License: GNU General Public License v3. See license.txt
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from __future__ import unicode_literals
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import frappe, os, json
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from frappe.custom.doctype.custom_field.custom_field import create_custom_field
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from frappe.permissions import add_permission
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from erpnext.regional.india import states
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def install(company):
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make_custom_fields()
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make_fixtures()
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add_permissions()
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add_hsn_codes()
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def add_hsn_codes():
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with open(os.path.join(os.path.dirname(__file__), 'hsn_code_data.json'), 'r') as f:
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hsn_codes = json.loads(f.read())
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frappe.db.sql('truncate `tabGST HSN Code`')
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for d in hsn_codes:
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hsn_code = frappe.new_doc('GST HSN Code')
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hsn_code.update(d)
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hsn_code.name = hsn_code.hsn_code
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hsn_code.db_insert()
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def add_permissions():
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for doctype in ('GST HSN Code',):
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add_permission(doctype, 'Accounts Manager', 0)
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add_permission(doctype, 'All', 0)
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def make_custom_fields():
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custom_fields = {
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'Address': [
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dict(fieldname='gstin', label='Party GSTIN', fieldtype='Data', insert_after='fax'),
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dict(fieldname='gst_state', label='GST State', fieldtype='Select',
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options='\n'.join(states), insert_after='gstin')
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],
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'Purchase Invoice': [
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dict(fieldname='supplier_gstin', label='Supplier GSTIN',
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fieldtype='Data', insert_after='supplier_address', options='supplier_address.gstin'),
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dict(fieldname='company_gstin', label='Company GSTIN',
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fieldtype='Data', insert_after='fax', options='shipping_address.gstin'),
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],
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'Sales Invoice': [
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dict(fieldname='customer_gstin', label='Customer GSTIN',
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fieldtype='Data', insert_after='shipping_address', options='shipping_address.gstin'),
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dict(fieldname='company_address', label='Company Address',
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fieldtype='Link', insert_after='shipping_address', options='Address'),
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dict(fieldname='company_gstin', label='Company GSTIN',
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fieldtype='Data', insert_after='fax', options='company_address.gstin'),
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],
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'Item': [
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dict(fieldname='gst_hsn_code', label='GST HSN Code',
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fieldtype='Link', options='GST HSN Code', insert_after='item_group'),
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],
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'Sales Invoice Item': [
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dict(fieldname='gst_hsn_code', label='GST HSN Code',
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fieldtype='Data', options='item_code.gst_hsn_code', insert_after='income_account'),
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],
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'Purchase Invoice Item': [
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dict(fieldname='gst_hsn_code', label='GST HSN Code',
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fieldtype='Data', options='item_code.gst_hsn_code', insert_after='expense_account'),
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]
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}
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for doctype, fields in custom_fields.items():
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for df in fields:
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create_custom_field(doctype, df)
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def make_fixtures():
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docs = [
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{'doctype': 'Salary Component', 'salary_component': 'Professional Tax', 'description': 'Professional Tax', 'type': 'Deduction'},
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{'doctype': 'Salary Component', 'salary_component': 'Provident Fund', 'description': 'Provident fund', 'type': 'Deduction'},
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{'doctype': 'Salary Component', 'salary_component': 'House Rent Allowance', 'description': 'House Rent Allowance', 'type': 'Earning'},
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{'doctype': 'Salary Component', 'salary_component': 'Basic', 'description': 'Basic', 'type': 'Earning'},
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{'doctype': 'Salary Component', 'salary_component': 'Arrear', 'description': 'Arrear', 'type': 'Earning'},
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{'doctype': 'Salary Component', 'salary_component': 'Leave Encashment', 'description': 'Leave Encashment', 'type': 'Earning'}
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]
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for d in docs:
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try:
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doc = frappe.get_doc(d)
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doc.flags.ignore_permissions = True
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doc.insert()
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except frappe.NameError:
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pass
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21
erpnext/regional/india/utils.py
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21
erpnext/regional/india/utils.py
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@@ -0,0 +1,21 @@
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import frappe, re
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from frappe import _
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from erpnext.regional.india import states, state_numbers
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def validate_gstin_for_india(doc, method):
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if not hasattr(doc, 'gstin'):
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return
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if doc.gstin:
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p = re.compile("[0-9]{2}[a-zA-Z]{5}[0-9]{4}[a-zA-Z]{1}[1-9A-Za-z]{1}[Z]{1}[0-9a-zA-Z]{1}")
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if not p.match(doc.gstin):
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frappe.throw(_("Invalid GSTIN"))
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if not doc.gst_state:
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if doc.state in states:
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doc.gst_state = doc.state
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if doc.gst_state:
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state_number = state_numbers[doc.gst_state]
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if state_number != doc.gstin[:2]:
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frappe.throw(_("First 2 digits of GSTIN should match with State number {0}").format(state_number))
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